IVGCVSW-3743 Add end-to-end test for ABS on CpuRef

Signed-off-by: Aron Virginas-Tar <Aron.Virginas-Tar@arm.com>
Change-Id: I807a57af6dc2555a5a422388558a02e958ed610d
diff --git a/src/backends/backendsCommon/test/AbsEndToEndTestImpl.hpp b/src/backends/backendsCommon/test/AbsEndToEndTestImpl.hpp
new file mode 100644
index 0000000..c46376b
--- /dev/null
+++ b/src/backends/backendsCommon/test/AbsEndToEndTestImpl.hpp
@@ -0,0 +1,65 @@
+//
+// Copyright © 2017 Arm Ltd. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#pragma once
+
+#include "CommonTestUtils.hpp"
+
+#include <ResolveType.hpp>
+
+#include <armnn/ArmNN.hpp>
+
+namespace
+{
+
+armnn::INetworkPtr CreateAbsNetwork(const armnn::TensorInfo& tensorInfo)
+{
+    armnn::INetworkPtr network(armnn::INetwork::Create());
+
+    armnn::IConnectableLayer* inputLayer  = network->AddInputLayer(0, "input");
+    armnn::IConnectableLayer* absLayer    = network->AddAbsLayer("abs");
+    armnn::IConnectableLayer* outputLayer = network->AddOutputLayer(0, "output");
+
+    Connect(inputLayer, absLayer, tensorInfo, 0, 0);
+    Connect(absLayer, outputLayer, tensorInfo, 0, 0);
+
+    return network;
+}
+
+} // anonymous namespace
+
+template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>>
+void AbsEndToEnd(const std::vector<armnn::BackendId>& backends)
+{
+    using namespace armnn;
+
+    const float   qScale  = IsQuantizedType<T>() ? 0.25f : 1.0f;
+    const int32_t qOffset = IsQuantizedType<T>() ? 50    : 0;
+
+    TensorInfo tensorInfo({ 1, 1, 2, 3 }, ArmnnType, qScale, qOffset);
+
+    std::vector<float> inputData =
+    {
+       -1.f,  2.f, -3.f,
+        4.f, -5.f,  6.f
+    };
+
+    std::vector<float> expectedOutputData =
+    {
+        1.f, 2.f, 3.f,
+        4.f, 5.f, 6.f
+    };
+
+    // quantize data
+    std::vector<T> qInputData          = QuantizedVector<T>(qScale, qOffset, inputData);
+    std::vector<T> qExpectedOutputData = QuantizedVector<T>(qScale, qOffset, expectedOutputData);
+
+    INetworkPtr network = CreateAbsNetwork(tensorInfo);
+
+    EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(network),
+                                                { { 0, qInputData } },
+                                                { { 0, qExpectedOutputData } },
+                                                backends);
+}